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红细胞分布宽度/血清白蛋白比值与帕金森病之间的关联

Association between red cell distribution width/serum albumin ratio and Parkinson's disease.

作者信息

Li Mimi, Xu Yingying, Huang Zhengping, Ye Lichao, Chen Chunnuan

机构信息

Fujian Province, The Neurology Department of The Second Affiliated Hospital of Fujian Medical University, Zhongshan North Road 34, Quanzhou City, 362000, People's Republic of China.

出版信息

Eur J Med Res. 2025 May 31;30(1):431. doi: 10.1186/s40001-025-02707-z.

DOI:10.1186/s40001-025-02707-z
PMID:40448230
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12125946/
Abstract

BACKGROUND

The ratio between erythrocyte distribution width and serum albumin (RAR) has gained recognition as a novel composite biomarker for inflammatory processes, though its clinical significance in Parkinson's disease (PD) pathology requires further exploration. The purpose of this cross-sectional study was to investigate the relationship between RAR and PD.

METHODS

This epidemiologic investigation utilized data from participants enrolled in the National Health and Nutrition Examination Survey (NHANES) spanning 2003-2018. Study cohorts comprised PD-diagnosed individuals and matched controls. To elucidate the RAR-PD connection, we implemented three analytical strategies: multivariable-adjusted logistic regression models incorporating sample weights, restricted cubic spline (RCS) modeling for nonlinear relationships, and stratified analyses across demographic subgroups. Comparative assessment of inflammatory biomarkers' discriminative performance was performed through ROC curve analysis, contrasting RAR against platelet-albumin ratio (PAR) and neutrophil-albumin ratio (NAR).

RESULTS

The analysis encompassed 31,848 adults (297 PD cases; 31,551 controls) from the NHANES database. Quantitative analysis revealed elevated RAR measurements in PD subjects compared to controls [3.28 (0.04) vs. 3.09 (0.01), P < 0.001]. Following covariate adjustment in weighted regression models, multivariable-adjusted analyses identified RAR as an independent predictor (adjusted OR = 1.40, 95% CI 1.06-1.85, P = 0.018). RCS modeling revealed nonlinear RAR-PD associations, peaking at 3.48 (inverted U-shape). Comparative ROC analysis confirmed RAR's discriminative superiority over PAR and NAR in PD detection (P < 0.05).

CONCLUSIONS

As demonstrated by the research findings, RAR is strongly and independently associated with PD. RAR may serve as an indicator or screening tool for an increased risk of PD.

摘要

背景

红细胞分布宽度与血清白蛋白之比(RAR)已被公认为一种用于炎症过程的新型复合生物标志物,但其在帕金森病(PD)病理中的临床意义仍需进一步探索。这项横断面研究的目的是调查RAR与PD之间的关系。

方法

这项流行病学调查利用了2003年至2018年参加美国国家健康与营养检查调查(NHANES)的参与者的数据。研究队列包括经PD诊断的个体和匹配的对照组。为了阐明RAR与PD的联系,我们实施了三种分析策略:纳入样本权重的多变量调整逻辑回归模型、用于非线性关系的受限立方样条(RCS)建模以及跨人口亚组的分层分析。通过ROC曲线分析对炎症生物标志物的判别性能进行比较评估,将RAR与血小板 - 白蛋白比(PAR)和中性粒细胞 - 白蛋白比(NAR)进行对比。

结果

分析涵盖了NHANES数据库中的31848名成年人(297例PD病例;31551名对照)。定量分析显示,与对照组相比,PD患者的RAR测量值升高[3.28(0.04)对3.09(0.01),P < 0.001]。在加权回归模型中进行协变量调整后,多变量调整分析确定RAR为独立预测因子(调整后的OR = 1.40,95% CI 1.06 - 1.85,P = 0.018)。RCS建模揭示了RAR与PD之间的非线性关联,在3.48时达到峰值(倒U形)。比较ROC分析证实,在PD检测中,RAR在判别性能上优于PAR和NAR(P < 0.05)。

结论

研究结果表明,RAR与PD密切且独立相关。RAR可能作为PD风险增加的指标或筛查工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e76/12125946/925c063b5281/40001_2025_2707_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e76/12125946/dd1930af37bd/40001_2025_2707_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e76/12125946/5b170c1620be/40001_2025_2707_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e76/12125946/bea09bfb22f3/40001_2025_2707_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e76/12125946/925c063b5281/40001_2025_2707_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e76/12125946/dd1930af37bd/40001_2025_2707_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e76/12125946/5b170c1620be/40001_2025_2707_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e76/12125946/bea09bfb22f3/40001_2025_2707_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e76/12125946/925c063b5281/40001_2025_2707_Fig4_HTML.jpg

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